Advisory Board Meeting

Data Inputs

What is needed

• Biological Data
  • Biomass and Abundance
  • Fish location
  • Ecological Interactions
• Human Data
  • Fishing Decisions
  • Regulations
  • Costs and Revenues

Where to get it

• Biological Data
  • Biomass and Abundance: Stock Assessments
  • Fish location: NWFSC EFH
  • Ecological Interactions: working on it
• Human Data
  • Fishing Decisions: Logbook data
  • Regulations: Policy History
  • Costs and Revenues: Catcher Vessel Report

What to do with it

• Biological Data
  • Biomass and Abundance: input
  • Fish location: input
  • Ecological Interactions: input
• Human Data
  • Fishing Decisions: output
  • Regulations: variable
  • Costs and Revenues: input

West Coast Model Runs

Data exploration

Scenario exploration

Scenario exploration 2

Agent Decisions Algorithms

Fishing Location

• Agents need to:
  • Maximize profits
  • Balance exploration and exploitation
  • Adapt to changes in policies
• Many adaptive algorithms
  • Trial and Error
  • Imitation
  • Heatmap Inferene

We can rank them

How imitation looks

How inference looks

Abstract Results

Split in half world

Locational choices through quotas

Tradeable quotas generate geographical incentives

Optimal TAC

Optimal ITQ

Pareto Fronts